Hongda Zhong

Hongda Zhong

Institution

University of Texas at Dallas

PhD Year

2015

Email

zhonghongda@gmail.com

FTG Membership

Member

Website

https://sites.google.com/site/zhonghongda/

Featured Work

Mar 30, 2026

Joanne Chen, Brandon Han, Hongda Zhong

Human Skills in the Age of AI

Advances in artificial intelligence raise fundamental questions about how technology reshapes human skills. Modern AI systems may crowd out active human decision-making; unlike past technologies, such decisions are a key input for training and improving AI models. We develop a framework based on Markov matrices to study how AI substitutes for and augments different human skills, and how decision authority -- whether the technology is...


Mar 30, 2026

Anthony Lee Zhang, Hongda Zhong

Corporate Governance by Workers

What are the consequences of worker private information for corporate governance? When informed workers are compensated partly in equity, they may leave the firm if they observe low managerial effort, reducing the firm value and the manager’s own compensation. Counterintuitively, granting equity to workers can thus increase managers’ effort incentives, despite crowding out managers’ ownership in the firm. Worker equity also exerts downward pressure on...


Mar 10, 2026

Alejandro Rivera, Fernando Zapatero, Hongda Zhong | Working Paper No. 00201-00

Optimal Contracting with Aspirational Utility

This paper characterizes the optimal contract when the agent is endowed with aspirational utility. Our analysis reveals that effort and aspirations act as complements: the principal utilizes aspirational ``boosters'' to induce local risk-loving behavior, reducing the welfare costs of incentives and leading to higher effort levels. We find that the optimal compensation contract features a discontinuous jump to reach the aspiration point after good performance,...


Feb 1, 2025

Hongda Zhong | Working Paper No. 00146-00

Optimal Integration: Human, Machine, and Generative AI

I study the optimal integration of humans and technologies in multi-layered decision-making processes. Each layer can correct existing errors but may also introduce new ones. A one-dimensional quality metric – a decision-maker’s error correction capability normalized by its new errors – determines the optimal rule: deploying higher-quality technologies in later stages. Interestingly, the final decision-making layer may not achieve the greatest error reduction; instead, its...


Feb 1, 2025

Hongda Zhong, Zhen Zhou | Working Paper No. 00147-00

Dynamic Coordination and Bankruptcy Regulations

Many regulations aim at promoting coordination among creditors in bankruptcy by ex post restricting their ability to exit distressed firms. However, such restrictions may harm creditors’ ex ante incentives to stay invested, thereby worsening coordination outcomes. We build a dynamic coordination model to show how this force shapes creditor runs, bankruptcy filings, and regulation designs. Intriguingly, filing for bankruptcy early, thereby preserving more assets for...


Feb 28, 2018

Hongda Zhong | Working Paper No. 00011-00

A Dynamic Model of Optimal Creditor Dispersion

Firms often choose to raise capital from multiple creditors even though doing so may lead to inefficient liquidation caused by coordination failure. Potential coordination failure can, however, improve a firm’s incentive to repay its debt, thus increasing its debt capacity. Given this trade-off between higher liquidation risk and enhanced pledgeability, it is important to understand how firms choose the number of creditors and how this...